Inform offers ' auto-categorizing ' News Search System
Heavy news consumers -- junkies to less sympathetic friends -- have access to thousands of free sources and millions of stories, as Web search, aggregation and syndication tools grow more powerful.
But, despite the sophistication of news reading tools, the search for relevance remains a disjointed, cumbersome affair, lacking in context and often ending in information overload.
On Monday, closely held New York start-up Inform Technologies LLC is set to introduce a context-rich Web news and blog commentary search system that offers automated links to related stories based on the users' reading history.
Inform tags and scores the elements of each article, making them far more searchable than keyword-based news search offered by Google News or the summary searches of a story's first paragraph offered by RSS (Really Simple Syndication) services.
What distinguishes Inform is how it combs through databases to determine key concepts such as topics, industries, people, places and companies mentioned in the story. These key concepts enable it to offer links to closely related articles or ideas.
Inform, located at http://www.inform.com/, aims to provide a publisher-friendly framework that reinforces brands. Inform displays news articles within a central frame lined with links to other sections of the publication, giving the reader the feeling of reading an actual newspaper. Above the story and on the right side, Inform links to related concepts.
The front page is selected by editors. But search beyond the initial page and news is located using computer search algorithms, similar to the way Google News works. Users can use the system anonymously or sign on for deeper personalization.
The system can find relationships between a particular search and related concepts. A search for "Ivory Coast" also returns news on "Cote d'Ivoire," the proper name of the francophone country. Articles concerned with terrorism don't always use the term, Goldman noted.
The system works behind the scenes and needs none of the complex search terms subscribers to premium news databases such as LexisNexis and Factiva must use. LexisNexis is a unit of Reed Elsevier NV. Factiva is a joint venture of Dow Jones & Co. Inc. and Reuters Group Plc.
"We are trying to bring that type of power to users for free," said Goldman, an ex-Lehman Brothers investment banker.
Inform plans to count on targeted advertising revenue tied to consumer's news preferences. Eventually, it wants to offer enhanced services that include subscriptions, pay-per-view articles, archived news and merchandise sales, officials said.
Inform Technologies has 55 employees, half of whom are based in India. These workers have set up a list of nearly 1,000 Web-based news sources and 100 top blogs and are adding several new sources to the system each day, they said.
But, despite the sophistication of news reading tools, the search for relevance remains a disjointed, cumbersome affair, lacking in context and often ending in information overload.
On Monday, closely held New York start-up Inform Technologies LLC is set to introduce a context-rich Web news and blog commentary search system that offers automated links to related stories based on the users' reading history.
Inform tags and scores the elements of each article, making them far more searchable than keyword-based news search offered by Google News or the summary searches of a story's first paragraph offered by RSS (Really Simple Syndication) services.
What distinguishes Inform is how it combs through databases to determine key concepts such as topics, industries, people, places and companies mentioned in the story. These key concepts enable it to offer links to closely related articles or ideas.
Inform, located at http://www.inform.com/, aims to provide a publisher-friendly framework that reinforces brands. Inform displays news articles within a central frame lined with links to other sections of the publication, giving the reader the feeling of reading an actual newspaper. Above the story and on the right side, Inform links to related concepts.
The front page is selected by editors. But search beyond the initial page and news is located using computer search algorithms, similar to the way Google News works. Users can use the system anonymously or sign on for deeper personalization.
The system can find relationships between a particular search and related concepts. A search for "Ivory Coast" also returns news on "Cote d'Ivoire," the proper name of the francophone country. Articles concerned with terrorism don't always use the term, Goldman noted.
The system works behind the scenes and needs none of the complex search terms subscribers to premium news databases such as LexisNexis and Factiva must use. LexisNexis is a unit of Reed Elsevier NV. Factiva is a joint venture of Dow Jones & Co. Inc. and Reuters Group Plc.
"We are trying to bring that type of power to users for free," said Goldman, an ex-Lehman Brothers investment banker.
Inform plans to count on targeted advertising revenue tied to consumer's news preferences. Eventually, it wants to offer enhanced services that include subscriptions, pay-per-view articles, archived news and merchandise sales, officials said.
Inform Technologies has 55 employees, half of whom are based in India. These workers have set up a list of nearly 1,000 Web-based news sources and 100 top blogs and are adding several new sources to the system each day, they said.
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